Rivac LabsModel QA Specialist
A model that performs well on a benchmark can still fail in production for reasons nobody catches until a customer or a regulator does — feature leakage, silent drift, a decision path nobody can explain. This service runs end-to-end QA on machine-learning models: auditing training and evaluation methodology, analyzing feature importance and stability, and building interpretability into the model's decisions so you can explain what it did and why. It's for teams shipping models into decisions with real consequences — credit, hiring, healthcare, pricing — who need confidence the model is behaving as intended before and after deployment. You get an audited, explainable model and a QA process that catches problems before your customers or regulators do.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Audit the model's training data, evaluation methodology, and feature set for leakage, bias, or instability.
- 2
Run interpretability analysis on a sample of real predictions to test whether the model's reasoning holds up.
- 3
Review findings with the ML and product teams and prioritize fixes before further deployment.
- 4
Stand up an ongoing QA and drift-monitoring process for the model in production.
What You Get
Deliverables from this engagement
- A model audit report covering training data, features, and evaluation methodology
- Interpretability analysis for representative model decisions
- A prioritized list of model risks and recommended fixes
- An ongoing drift-monitoring and QA process
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Model QA SpecialistMost engagements like this start as a $500–$2,500 pilot — see full pricing.